Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Diabetes Metab J. 2022 Jul;46(4):552-563. doi: 10.4093/dmj.2022.0193. Epub 2022 Jul 27.
Recently, medical research using big data has become very popular, and its value has become increasingly recognized. The Korean National Health Information Database (NHID) is representative of big data that combines information obtained from the National Health Insurance Service collected for claims and reimbursement of health care services and results obtained from general health examinations provided to all Korean adults. This database has several strengths and limitations. Given the large size, various laboratory data, and questionnaires obtained from medical check-ups, their longitudinal nature, and long-term accumulation of data since 2002, carefully designed studies may provide valuable information that is difficult to obtain from other forms of research. However, consideration of possible bias and careful interpretation when defining causal relationships is also important because the data were not collected for research purposes. After the NHID became publicly available, research and publications based on this database have increased explosively, especially in the field of diabetes and metabolism. This article reviews the history, structure, and characteristics of the Korean NHID. Recent trends in big data research using this database, commonly used operational diagnosis, and representative studies have been introduced. We expect further progress and expansion of big data research using the Korean NHID.
最近，利用大数据进行医学研究变得非常流行，其价值也越来越受到认可。韩国国家健康信息数据库（NHID）是将从国家健康保险服务收集的医疗保险服务索赔和报销信息与向所有韩国成年人提供的一般健康检查结果相结合的大数据的代表。该数据库具有一些优势和局限性。由于从医疗检查中获得的大量实验室数据和问卷，其纵向性质以及自 2002 年以来长期积累的数据，精心设计的研究可能会提供其他研究形式难以获得的有价值的信息。但是，由于数据不是为研究目的而收集的，因此在定义因果关系时也需要考虑可能存在的偏差并谨慎解释。NHID 公开后，基于该数据库的研究和出版物呈爆炸式增长，尤其是在糖尿病和代谢领域。本文回顾了韩国 NHID 的历史、结构和特点。介绍了使用该数据库的大数据研究的最新趋势、常用的操作诊断和代表性研究。我们期望使用韩国 NHID 的大数据研究取得进一步的进展和扩展。
